Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO

Autor:	Gönültaş, Emre, Taner, Sueda, Gallyas-Sanhueza, Alexandra, Mirfarshbafan, Seyed Hadi, Studer, Christoph
Rok vydání:	2021
Předmět:	Computer Science - Information Theory Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	Massive multi-user multiple-input multiple-output (MU-MIMO) wireless systems operating at millimeter-wave (mmWave) frequencies enable simultaneous wideband data transmission to a large number of users. In order to reduce the complexity of MU precoding in all-digital basestation architectures, we propose a two-stage precoding architecture that first performs precoding using a sparse matrix in the beamspace domain, followed by an inverse fast Fourier transform that converts the result to the antenna domain. The sparse precoding matrix requires a small number of multipliers and enables regular hardware architectures, which allows the design of hardware-efficient all-digital precoders. Simulation results demonstrate that our methods approach the error-rate of conventional Wiener filter precoding with more than 2x reduced complexity. Comment: To appear in IEEE Communications Letters
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2108.06229 Zobrazit plný text záznamu View this record from Arxiv